Identifying and mitigating batch effects in whole genome sequencing data

BACKGROUND: Large sample sets of whole genome sequencing with deep coverage are being generated, however assembling datasets from different sources inevitably introduces batch effects. These batch effects are not well understood and can be due to changes in the sequencing protocol or bioinformatics...

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Detalles Bibliográficos
Autores principales: Tom, Jennifer A., Reeder, Jens, Forrest, William F., Graham, Robert R., Hunkapiller, Julie, Behrens, Timothy W., Bhangale, Tushar R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525370/
https://www.ncbi.nlm.nih.gov/pubmed/28738841
http://dx.doi.org/10.1186/s12859-017-1756-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525370/
https://www.ncbi.nlm.nih.gov/pubmed/28738841
http://dx.doi.org/10.1186/s12859-017-1756-z

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